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The AAPG/Datapages Combined Publications Database
Showing 129 Results. Searched 195,452 documents.
Abstract: Geostatistical Simulation of Reservoir Heterogeneity in a Lower Mississippian Sandstone, Appalachian Basin, by M. E. Hohn and R. R. McDowell; #90987 (1993).
Search and Discovery.com
1993
Abstract: Estimating Shale Length Distributions from Outcrop Data, by Christopher D. White and Brian J. Willis; #90914(2000)
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2000
ABSTRACT: Comparison of Multivariate Statistical Algorithms for Wireline Log Facies Classification, by Tang, Hong, Christopher D. White, M. Royhan Gani, Janok Bhattacharya; #90026 (2004)
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2004
Abstract: Geostatistical Integration of Outcrop and Geophysical Data to Describe Diagenetic Heterogeneities for Flow Modeling, Frontier Formation, Wyoming, by Hong Tang; #90039 (2005)
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2005
Abstract: A Novel Approach to Reservoir Characterization Using Seismic Inversion, Rock Physics and Bayesian Classification Scheme, by Nader C. Dutta; #90077 (2008)
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2008
ABSTRACT: Bayesian Inversion Technique to Identify Spatial Continuity in Rock Properties Using Level Set Methods. Real Case Study on Horn Mountain Field, Deepwater Gulf of Mexico, by Dadi, Sireesh K.; #90142 (2012)
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2012
ABSTRACT: A Review of Applications of Artificial Intelligence for Predictive Analysis in Petrophysics - Practical Example Using Symbolic Regression; #90115 (2010)
Olivier Malinur
Search and Discovery.com
... Bayes analysis coupled with the use of nomograms turns as extremely powerful in stochastic prediction. Some methods focus on retrieving underlying...
2010
Abstract: Geologic Risking with Bayesian Methods: Fracture Case Study in an Unconventional Setting; #90319 (2018)
Susan M. Agar, Weichang Li, Rajesh Goteti, T. Dawn Jobe, Yan Zaretskiy, Shuo Zhang
Search and Discovery.com
... classes. Further nodes serve as “symptoms” of fractures and can be used for validation. The node states of the Bayes net can be defined by data...
2018
Quantifying Uncertainty in Original-Oil-In-Place Estimates from Volumetric and Material Balance Methods, by C. Ogele, D.A. McVay, and W.J. Lee; #90052 (2006)
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2006
Uncertainty Analysis in Reservoir Characterization and Management: How Much Should We Know About What We Don't Know?
Y. Zee Ma
AAPG Special Volumes
... of infrequent data (Gillies, 2000; Ma, 2009b). Others think that the Bayes belief network cannot be fully believed because it is too subjective...
2011
Compositional Analysis of Lithologies from Wireline Logs: Chapter 3
John H. Doveton
AAPG Special Volumes
... zone based on a Bayesian decision procedure. Bayes' theorem was found in the papers of the Reverend Thomas Bayes (1702-61) after his death...
1994
Estimation of In-Situ Wettability using Multi-Frequency Electromagnetic Measurements
Yuteng Jin, Siddharth Misra, Dean Homan
Unconventional Resources Technology Conference (URTEC)
...). MCMC inversion method aims to generate samples and reveal the underlying distribution of the estimated parameters. It uses Bayes theorem which allows...
2020
A Bayesian belief network approach for assessing the impact of exploration prospect interdependency: An application to predict gas discoveries in the Netherlands
Jan-Diederik Van Wees, Harmen Mijnlieff, Jan Lutgert, Jaap Breunese, Christian Bos, Peter Rosenkranz, Filip Neele
AAPG Bulletin
... of prospects can be modeled in a dynamic way using Bayesian theory. Bayes' theorem is a simple mathematical formula used for calculating conditional...
2008
Unconventional reservoir characterization by seismic inversion and machine learning of the Bakken Formation
Jackson R. Tomski, Mrinal K. Sen, Thomas E. Hess, and Michael J. Pyrcz
AAPG Bulletin
... problem is cast in a Bayesian framework; the algorithm is based on the Bayes’ theorem given by where p(y|x) is the probability of our target given...
2022
2008
Auto Recognition of Carbonate Sedimentary Facies Based on an Improved BP Neural Network
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N/A
Mapping the Barnett Shale Gas With Probabilistic Physics-Based Decline Curve Models and the Development of a Localized Prior Distribution
Rafael Wanderley de Holanda, Eduardo Gildin, Peter P. Valko
Unconventional Resources Technology Conference (URTEC)
... and larger variance as the liquid content increases (Holanda et al., 2018). The Bayes theorem is used for uncertainty quantification of the production...
2018
2007
2009
Digital characterization of thrombolite-stromatolite reef distribution in a carbonate ramp system (terminal Proterozoic, Nama Group, Namibia)
Erwin W. Adams, John P. Grotzinger, Wesley A. Watters, Stefan Schrder, David S. McCormick, Hisham A. Al-Siyabi
AAPG Bulletin
... the Bayes theorem (e.g., White and Willis, 2000) and the joint probability density for and (the measured and actual widths, respectively...
2005
Quantification of thermal conductivity uncertainty for basin modeling
Patrick Elison, Jan Niederau, Christian Vogt, and Christoph Clauser
AAPG Bulletin
... models is conditioned according to Bayes’ theorem to incorporate prior knowledge of temperature data. This conditional probability yields a posterior...
2019
Origin and charging histories of diagenetic traps in the Junggar Basin
Jianguo Pan, Guodong Wang, Yongqiang Qu, Wen Qi, Lu Yin, Duonian Xu, Tuanyu Teng, Bin Wang, Kaijun Tan, and Linjun Huang
AAPG Bulletin
.... Hu, G. Q., Y. Liu, X. C. Wei, and T. S. Chen, 2011, Joint PP and PS AVO inversion based on Bayes theorem: Applied Geophysics, v. 8, no. 4, p. 293–302...
2021
Integrating deep directional resistivity with machine learning for improved well placement in the Nikaitchuq Field, North Slope Alaska
Christopher McCullagh, Joshua Zuber
International Meeting for Applied Geoscience and Energy (IMAGE)
... are included, Naïve Bayes being the exception. Table 1: Classification accuracy of each ML model with different training datasets. Case Studies...
2023
The Value of CSEM Data in Exploration "Best of EAGE", #40885 (2012)
Arild Buland, Lars Ole Løseth, Andreas Becht, Malgven Roudot, Tage Røsten,
Search and Discovery.com
... additional information. The modified (posterior) probability for a geological scenario Si after risk modification is given by Bayes law as P ( Si | D...
2012
Determination of Potential Yield and Volatile Hydrocarbons from Well Logs in Potential Source Rocks
J. L. Lin, H. A. Salisch
Southeast Asia Petroleum Exploration Society (SEAPEX)
...] were studied by means of cross-plots and correlation analysis. Bayes multi-group discriminant analysis was used to determine the rock categories...
1994